Trading Analytics Quant: Build Models & Backtest Insights

VirPoint Trading; Greater London; On-site; GBP 45,000 - 65,000; Full time

Job summary

A financial analytics firm in Greater London seeks a Quantitative Analyst to develop and optimize models for internal analytics and trading strategies. The successful candidate will collaborate with teams to design financial models, analyze trading performance, and handle large datasets. A degree in mathematics, physics, or finance is required along with proficiency in Python, R, or MATLAB. Candidates with experience in market data and strong analytical skills are preferred. This role offers a significant opportunity to leverage data-driven decision-making in finance.

Qualifications

• Degree in a relevant field like mathematics or finance is required.
• Proficiency in statistical programming languages such as Python, R, or MATLAB is crucial.
• Experience with trading or market data is essential.

Responsibilities

• Design, implement, and test financial models.
• Analyse trade performance and market behaviour.
• Collaborate with product and trading teams to develop tools.
• Clean and manipulate large data sets.
• Automate reporting and backtesting processes.

Skills

Python

R

MATLAB

Analytical skills

Problem-solving

Education

Degree in mathematics, physics, statistics, finance, or related field

Job description

A financial analytics firm in Greater London seeks a Quantitative Analyst to develop and optimize models for internal analytics and trading strategies. The successful candidate will collaborate with teams to design financial models, analyze trading performance, and handle large datasets. A degree in mathematics, physics, or finance is required along with proficiency in Python, R, or MATLAB. Candidates with experience in market data and strong analytical skills are preferred. This role offers a significant opportunity to leverage data-driven decision-making in finance.